Swarm: An Educational Framework for Multi-Agent Orchestration

Overview

Swarm is an experimental, open-source framework developed by OpenAI, designed for educational purposes. It explores ergonomic, lightweight multi-agent orchestration, showcasing the intricate patterns of agent handoffs and routines. Though primarily aimed at facilitating learning, Swarm is a valuable tool for understanding multi-agent systems.

Preview

Swarm allows developers to create interactive agent-based systems with ease. It emphasizes user-friendly interfaces and provides a platform to experiment with various agent interactions.

How to Use

To get started with Swarm, ensure you have Python 3.10 or higher installed. Use the following command to install the package:

pip install git+https://github.com/openai/swarm.git

After installation, you can create agents and define their interactions with simple code. For example:

from swarm import Swarm, Agent

client = Swarm()

agent_a = Agent(name="Agent A", instructions="You are a helpful agent.")
agent_b = Agent(name="Agent B", instructions="Only speak in Haikus.")

response = client.run(agent=agent_a, messages=[{"role": "user", "content": "I want to talk to agent B."}])
print(response.messages[-1]["content"])

Purposes

Swarm is primarily used for educational purposes, demonstrating concepts of multi-agent systems and their orchestration. It’s an excellent resource for developers looking to understand agent-based AI interactions.

Benefits for Users

• Educational Insight: Gain hands-on experience with multi-agent systems.
• User-Friendly: Simple API for creating and managing agents.
• Open Source: Free